{"title":"A food resilience model integrating local wisdom and sociotechnical dynamic systems: Case study flood-affected communities in the Bengawan solo area","authors":"Issa Dyah Utami , Nachnul Anshori , Haryani Saptaningtyas , Septin Puji Astuti","doi":"10.1016/j.pdisas.2025.100413","DOIUrl":null,"url":null,"abstract":"<div><div>This study aimed to identify local potential and design a food resilience model based on local wisdom regarding floods. Floods can degrade the quality of food products. Indonesian people are known to have local wisdom on maintaining food resilience to mitigate natural disasters. This study proposes improving community preparedness for disaster threats and strengthening their capacity to respond effectively by integrating local wisdom, thereby improving food resilience and achieving disaster mitigation. To support research exploring how local wisdom can be effectively integrated into food resilience in communities affected by natural disasters, especially floods, effective strategies and methods are required to combine local wisdom with scientific and technological approaches. The sociotechnical system method and dynamic system approach were used to develop a model that can provide information to the community and government, thereby optimizing the function of local wisdom in food resilience. This study shows that local wisdom is important for flood mitigation and food resilience in communities affected by flood disasters. Based on the simulation results, the best scenario was obtained for the three regions. Governments can use these proposals to formulate policy priorities for implementation in each region.</div></div>","PeriodicalId":52341,"journal":{"name":"Progress in Disaster Science","volume":"26 ","pages":"Article 100413"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Progress in Disaster Science","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2590061725000109","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"ENVIRONMENTAL SCIENCES","Score":null,"Total":0}
引用次数: 0
Abstract
This study aimed to identify local potential and design a food resilience model based on local wisdom regarding floods. Floods can degrade the quality of food products. Indonesian people are known to have local wisdom on maintaining food resilience to mitigate natural disasters. This study proposes improving community preparedness for disaster threats and strengthening their capacity to respond effectively by integrating local wisdom, thereby improving food resilience and achieving disaster mitigation. To support research exploring how local wisdom can be effectively integrated into food resilience in communities affected by natural disasters, especially floods, effective strategies and methods are required to combine local wisdom with scientific and technological approaches. The sociotechnical system method and dynamic system approach were used to develop a model that can provide information to the community and government, thereby optimizing the function of local wisdom in food resilience. This study shows that local wisdom is important for flood mitigation and food resilience in communities affected by flood disasters. Based on the simulation results, the best scenario was obtained for the three regions. Governments can use these proposals to formulate policy priorities for implementation in each region.
期刊介绍:
Progress in Disaster Science is a Gold Open Access journal focusing on integrating research and policy in disaster research, and publishes original research papers and invited viewpoint articles on disaster risk reduction; response; emergency management and recovery.
A key part of the Journal's Publication output will see key experts invited to assess and comment on the current trends in disaster research, as well as highlight key papers.